Open access peer-reviewed Edited Volume

Introduction to Data Science and Machine Learning

Book metrics overview

12,631 Chapter Downloads

View Full Metrics

Academic Editor

Keshav Sud
Keshav Sud

University of Illinois at Chicago

Co-editors

Pakize Erdogmus
Pakize Erdogmus

Duzce University

Seifedine Kadry
Seifedine Kadry

Noroff University College, Norway

Published25 March 2020

Doi10.5772/intechopen.77469

ISBN978-1-83880-334-6

Print ISBN978-1-83880-333-9

eBook (PDF) ISBN978-1-83880-371-1

Copyright year2020

Number of pages232

Read more
Order Print Copy

Edited Volume and chapters are indexed in

  • Google Scholar
  • DOAB
  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
  • Worldcat
Show more

Table of Contents

Open access  chapters

3. Software Design for Success

By Laura M. Castro

716
4. Embedded Systems Based on Open Source Platforms

By Zlatko Bundalo and Dusanka Bundalo

1,159
2
5. The K-Means Algorithm Evolution

By Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, Andrea Vega-Villalobos, Rodolfo Pazos-Rangel, Crispín Zavala-Díaz and Alicia Martínez-Rebollar

1,331
14
885
2
802
9. The Software to the Soft Target Assessment

By Lucia Mrazkova Duricova, Martin Hromada and Jan Mrazek

908
10. The Methodological Standard to the Assessment of the Traffic Simulation in Real Time

By Jan Mrazek, Martin Hromada and Lucia Duricova Mrazkova

875
12. Serialization in Object-Oriented Programming Languages

By Konrad Grochowski, Michał Breiter and Robert Nowak

1,779
2

IMPACT OF THIS BOOK AND ITS CHAPTERS

12,631 Total Chapter Downloads

27 Crossref Citations

2 Web of Science Citations

45 Dimensions Citations

5 Altmetric Score

Order a print copy of this book

£119 (ex. VAT)*

Hardcover | Printed Full Colour

IntechOpen Contributor? Get your Discount

FREE SHIPPING WORLDWIDE

Order & Delivery info

* Residents of European Union countries need to add a Book Value-Added Tax Rate based on their country of residence. Institutions and companies, registered as VAT taxable entities in their own EU member state, will not pay VAT by providing IntechOpen with their VAT registration number. This is made possible by the EU reverse charge method.

Instructor? Request an Exam Copy